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From the algorithmic and emergent mindset to the heuristic mindset of reviewing literature

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Abstract

Studies on literature review (LR) methodology appear scant. Researchers have outlined common challenges associated with the LR process. Traditionally, conducting a LR entails paraphrasing existing studies. Researchers have failed to address the emergent nature of literature and how to deal with this challenge effectively. We analyzed the challenges of conducting a LR of published articles. Also, we collected data from postgraduate students in China. Using the five-level Qualitative Data Analysis and the learning heuristics of the translation process, we matched the units of analytical tasks of the LR at the strategy level to their selected and constructed components at the tactics level. A post-test analysis shows that this model explains 72% of the variance in the new strategy .

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Adapted from (silver and woolf 2017)

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Correspondence to Adasa Nkrumah Kofi Frimpong.

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The authors declare that they have no competing interests.

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The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Appendices

Appendix 1

See Table 11.

Table 11 Supplementary files and their titles

Appendix 2

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Table 12 Posttest questionnaire

Appendix 3

See Table 13.

Table 13 Raw results of the questionnaire

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Kofi Frimpong, A., Li, P., Amoah, M. et al. From the algorithmic and emergent mindset to the heuristic mindset of reviewing literature. Qual Quant 55, 1419–1455 (2021). https://doi.org/10.1007/s11135-020-01065-8

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  • DOI: https://doi.org/10.1007/s11135-020-01065-8

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